{"title":"基于模糊anp的供应商选择","authors":"Jinyu Wei, Aifen Sun","doi":"10.1109/FBIE.2009.5405867","DOIUrl":null,"url":null,"abstract":"Supplier selection is a multi-criteria problem including various factors. It is increasingly becoming a strategic issue for companies in supply chains and it is usually made by multiple decision makers according to multiple criteria. Vendor selection has an important impact on the competitiveness of firms. Considering to its complexity, the work will focus especially on the final selection stage with the method of fuzzy-ANP. We use ANP when considering the feedback and the relations between those factors. Due to complexity in assessing supplier selection performance, it is difficult for decision-makers to provide exact numerical values for the factors. Therefore, a fuzzy ANP method was taken to calculate the weights of each factor of the model, which can solve problems in an uncertain condition effectively.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The selection of supplier based on fuzzy-ANP\",\"authors\":\"Jinyu Wei, Aifen Sun\",\"doi\":\"10.1109/FBIE.2009.5405867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Supplier selection is a multi-criteria problem including various factors. It is increasingly becoming a strategic issue for companies in supply chains and it is usually made by multiple decision makers according to multiple criteria. Vendor selection has an important impact on the competitiveness of firms. Considering to its complexity, the work will focus especially on the final selection stage with the method of fuzzy-ANP. We use ANP when considering the feedback and the relations between those factors. Due to complexity in assessing supplier selection performance, it is difficult for decision-makers to provide exact numerical values for the factors. Therefore, a fuzzy ANP method was taken to calculate the weights of each factor of the model, which can solve problems in an uncertain condition effectively.\",\"PeriodicalId\":333255,\"journal\":{\"name\":\"2009 International Conference on Future BioMedical Information Engineering (FBIE)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Future BioMedical Information Engineering (FBIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FBIE.2009.5405867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FBIE.2009.5405867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Supplier selection is a multi-criteria problem including various factors. It is increasingly becoming a strategic issue for companies in supply chains and it is usually made by multiple decision makers according to multiple criteria. Vendor selection has an important impact on the competitiveness of firms. Considering to its complexity, the work will focus especially on the final selection stage with the method of fuzzy-ANP. We use ANP when considering the feedback and the relations between those factors. Due to complexity in assessing supplier selection performance, it is difficult for decision-makers to provide exact numerical values for the factors. Therefore, a fuzzy ANP method was taken to calculate the weights of each factor of the model, which can solve problems in an uncertain condition effectively.